Análisis de la arquitectura rural de la Serranía: Cuatro masías en el término municipal de Calles
Bibliographic record
Abstract
[CA] La masía, mas o masada és una construcció \nrural aïllada típica del territori que ocupava el \nregne d’Aragó, formada habitualment per una \nvivenda, diverses construccions auxiliars i les \nterres de cultiu. En el present treball es planteja l’estudi de quatre masies situades al terme \nmunicipal de Calles, en Els Serrans: \nLa Tecla, \nLa Hoya Antaño, Los Cipreses i La Torrecilla; \naixí com l’análisi menys detallat, degut al seu \navançat estat de ruïna i innaccesibilitat, d’una \nquinta masia: \nFuente Madrid o El Modelo. \nAquestes construccions són un clar exemple \ndel patrimoni rural d’Els Serrans vinculat al treball, disgregades i emplaçades en un entorn \nagrícola, cadascuna d’aquestes presenta diferents graus de conservació. S’analitza el seu \nestat actual, les seues tècniques constructives \ni els materials per a, posteriorment, poder realitzar hipòtesis sobre el seu estat original que \nservisquen de punt de partida per a una futura \nproposta de restauració.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".